Building scalable systems that power real-time data, AI platforms, and high-traffic cloud services.
π Philippines | βοΈ Cloud-Native Architect | β‘ Performance Optimizer
π» Senior backend engineer with 8+ years of experience building high-scale distributed systems and cloud platforms.
π I specialize in designing microservices architectures, real-time data pipelines, and ML infrastructure used in production environments handling millions of transactions and events daily.
β‘ My focus is on performance, scalability, and reliability β building systems that remain stable under massive load.
- β‘ Reduced API latency 30-45% through distributed caching & query optimization
- π Designed event pipelines processing 50M+ updates daily
- βοΈ Built cloud-native systems on AWS + Kubernetes
- π€ Developed infrastructure for ML feature platforms and model serving
- π Improved observability pipelines reducing incident detection 40%
- Kafka / Pulsar Streaming
- Feature Stores & ML Pipelines
- Event-Driven Architectures
- CQRS & Event Sourcing
- Async Processing Systems
Tools & Platforms:
- OpenTelemetry
- ELK Stack (Elasticsearch, Logstash, Kibana)
- Distributed tracing
- Production monitoring & alerting
- Microservices & Event-Driven Systems
- High-Throughput API Platforms
- Async Processing & Streaming Pipelines
- Domain-Driven Design (DDD)
- CQRS & Event Sourcing
- AWS (EKS, ECS, Lambda, S3, DynamoDB, RDS)
- Infrastructure as Code (Terraform)
- Kubernetes Production Clusters
- CI/CD Pipelines (GitHub Actions, Jenkins)
- OpenTelemetry
- Prometheus + Grafana
- ELK Stack
- Distributed Tracing
- Incident Response
π‘ Motto: Build systems that scale.
β Powered by coffee and distributed systems debugging
π§ Always learning about:
- AI infrastructure
- distributed systems
- performance engineering
β If you like my work, consider following or starring my repositories!

